• Title: GIS Succinctly
• Author(s) Peter Shaw
• Publisher: Syncfusion Inc. (2012)
• Paperback: N/A
• eBook: PDF (106 pages, 2.19 MB), Kindle (mobi), etc.
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
• Share This:  

Book Description

Geographic information systems (GIS) use a complex mix of cartography, statistical analysis, and database technology to provide everything from web-based interfaces, such as Bing Maps and Google Maps, to tracking applications for delivery services.

With GIS Succinctly, author Peter Shaw guides you through it all, starting with a detailed examination of the data and processes that constitute the internals of a GIS. He surveys a selection of commercial and open-source software packages, detailing the strengths and weaknesses of each so you can choose one that suits your own GIS development. Shaw even provides instructions for setting up a spatially enabled database and creating a complete .NET GIS application. Complete with downloadable code samples, GIS Succinctly is the one resource you need to map your world.

• N/A

• Amazon

• Geographic Information System (GIS), Web Mapping, and GPS
• Data Analysis and Data Mining, Big Data
• Statistics and SAS Programming
• Python Programming
• Succinctly Free eBooks Series

• GIS Succinctly (Peter Shaw)
• The Mirror Site (1) - PDF

• Nature of Geographic Information Systems (David DiBiase)

  The purpose of this book is to promote understanding of the Geographic Information Science and Technology enterprise (GIS&T, also known as 'geospatial'). It explores the nature of geographic information.

• An Introductory Textbook on Geographic Information Systems

  This textbook is an introduction to GIS, but most of the chapter's concepts are also applicable to other geotechnologies including remote sensing, global positioning systems (GPS), Internet mapping, and virtual globes.

• Geographic Information System Basics (Jonathan Campbell)

  From the melting of the polar ice caps to privacy issues associated with mapping, this book provides a gentle, yet substantive, introduction to the use and application of digital maps, mapping, and GIS.

• Principles of Geographic Information Systems (GIS)

  This book is designed to provide students in a first or second GIS course with a solid foundation in both GIS concepts and the use of GIS. It strikes a careful balance between GIS concepts and hands-on applications.

• Geospatial Analysis: Principles, Techniques and Software Tools

  This book provides a compehensive guide to concepts, methods and tools, with many examples being provided using a variety of software tools such as ArcGIS, Idrisi, Grass, Surfer and many others to clarify the concepts discussed

• Spatial Thinking in Planning Practice: An Introduction to GIS

  The goals of this textbook are to help students acquire the technical skills of using software and managing a database, and develop research skills of collecting data, analyzing information and presenting results.

• A Practical Guide to Geostatistical Mapping (Tomislav Hengl)

  This book is a practical guide to geostatistical mapping using R+gstat/geoR, SAGA GIS and Google Earth combo of software packages. Includes seven diverse data analysis exercises.

• Google Earth Engine Applications (Lalit Kumar, et al)

  It show apps using the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others.

• Python Scripting for Spatial Data Processing (Pete Bunting, et al)

  This book is a Python tutorial for beginners aiming at teaching spatial data processing. It is used as part of the courses taught in Remote Sensing and GIS, using psycopg2, and ogr2ogr, etc., at Aberystwyth University, UK.

• Cartography - A Tool for Spatial Analysis (Carlos Bateira)

  This book presents several contributions at different areas and activities showing the importance of the cartography to the perception and organization of the territory, showing the importance of the cartography to the perception and organization of the territory.

• Application of Geographic Information Systems (GIS)

  This book blends together the theories of GIS and their practical implementations in different conditions. It deals with GIS's application in the broad spectrum of geospatial analysis and modeling, water resources analysis, land use analysis, and such.

• Google Maps API Succinctly (Mark Lewin)

  It gives you a hands-on, beginner-level introduction to developing mapping applications using the Google Maps JavaScript API. Learn the ins and outs of the API so that you can harness the power of Google Maps within your own websites and applications.

• Applications of Spatial Statistics (Ming-Chih Hung)

  Spatial statistics has been widely used in many environmental studies. This book is for people who are interested in applying statistics to spatial data, as well as for who know statistics and want to explore how it can be applied to spatial data.

• Applied Spatial Data Analysis with R (Roger S. Bivand, et al)

  It presents R packages, functions, classes and methods for handling spatial data, and showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping.